#knowledgeGraphs — Bluesky Posts

@roccopaolillo.bsky.social

3 days ago

Our #JOWO #Plato paper out in #CEUR:
lnkd.in/drB7F3De

Presenting the #T2B2T paradigm to blend #BDI agents with #KnowledgeGraphs and #SemanticWeb

Here full presentation for a full presentation applying to #systemdynamics:
doi.org/10.5281/zeno...
#FOSSR #IRPPS #ISTC #CNR

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Francesco Osborne

@fosborne.bsky.social

4 days ago

Can LLMs build scholarly ontologies? We tested 17 models and the results are striking: top F1-score of 0.967, and even a small 7B model hit 0.92. New paper in Information Processing & Management:

https://doi.org/10.1016/j.ipm.2025.104262

#AI #KnowledgeGraphs

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GRAPHIA

@graphiaproject.bsky.social

1 week ago

GRAPHIA & LUMEN Innovation Prototyping Lab 2025 Report This document outlines the content of the Innovation Prototyping Lab (IPL) held at the Infobip Campus, Zagreb, Croatia, 1–3 October 2025. Delivered in collaboration between LUMEN and GRAPHIA, two EU-funded projects, the IPL was the first of three planned to take place in different locations across the EU and throughout the sister projects duration of three years (2025–2027). Infobip, a European technology unicorn founded in Croatia with over 75 offices worldwide to date, was not only the host for the IPL – their staff also took part by presenting their operation through a series of presentations and workshops. Infobip’s dual role as both the location host and active participant in the IPL contributed with an invaluable dialogue and exchange between industry and academia, providing examples of their practices and experiences throughout the IPL showing what is possible but also providing food for thought in terms of what could be done in the future. The IPL produced tangible design artefacts (mock-ups, sketches, ontology drafts, and concept matrices) and consolidated a shared framework for ongoing collaboration between LUMEN and GRAPHIA. These outputs will inform: The LUMEN Sustainability Roadmap (WP5). The GRAPHIA Ontology and Interface Development (WP2). The EOSC Innovation Centre Design Framework (WP6). The Labs also strengthened ties with industry partners and clarified future opportunities for experimental deployment and joint dissemination. Follow-up sessions are planned for spring 2026 to assess prototype integration and governance implementation. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Agency. Neither the European Union nor the granting authority can be held responsible for them.

📢 The #GRAPHIA & LUMEN Innovation Prototyping Lab (IPL) Report is out!

Held at Infobip Campus, Zagreb (Oct 2025), the IPL produced mock-ups, ontology drafts, & concept matrices, bridging industry & academia. Read more: zenodo.org/records/1...

#KnowledgeGraphs #SSH #OpenScience

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Daniel Hernández

@daniel.mstdn.degu.cl.ap.brid.gy

1 week ago

Sonia and Daniel with TuX (a penguin-dressed person) in the middle. Above is a promotional banner from the conference, with the title, sponsors, and Tux's face. The banner background is a picture of La Paz.

Me speaking with the microphone in one hand. In one corner there is a part of the projected slide, and in the other is a conference banner with some information and Tux. I am wearing a sweater I bought in La Paz.

@Ayenkantun found these pictures from 2011 at the XI Congreso Nacional de Software Libre (XI National Free Software Congress) in La Paz, Bolivia. I talked about #OpenData and #KnowledgeGraphs. Between 2009 and 2011, I worked on Chilean open data projects […]

[Original post on mstdn.degu.cl]

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Frederik Elwert

@felwert.fedihum.org.ap.brid.gy

1 week ago

Original post on fedihum.org

We’re looking for a Research Knowledge Engineer (m/f/x) (full time, 3,5 years). If you have a #DigitalHumanities profile with experience in #Ontologies, #KnowledgeGraphs and #LinkedOpenData, then we’re looking for you! Boosts welcome […]

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GRAPHIA

@graphiaproject.bsky.social

1 week ago

1st Call for Pilots - GRAPHIA The GRAPHIA project is inviting industry and commercial organisations working in the Social Sciences and Humanities (SSH) to take part in a pilot programme exploring how knowledge graphs can support real-world products, services, and workflows. GRAPHIA is building an open, interoperable knowledge graph infrastructure that connects scattered Social Sciences and Humanities (SSH) datasets, making them […]

⏳ Final Call: GRAPHIA 1st Call for Pilots

Commercial organisations in the ERA working with SSH data: expressions of interest close 5 March 2026.

Explore how knowledge graph infrastructure can support AI-enabled products & services.

Details: graphia-ssh.eu/call-...

#KnowledgeGraphs #SSH #AI

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VP(WP)

@vpavlyshyn.bsky.social

2 weeks ago

I'm writing about this architecture — context graphs → promise graphs → social memory — in my Age AI: Pocket Knowledge Graphs book series.

📚 Vol 1 is out. Next volumes go deep into what lies beyond context graphs.

#AgenticAI #MultiAgentSystems #KnowledgeGraphs #PromiseTheory #AIMemory #SovereignAI

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GRAPHIA

@graphiaproject.bsky.social

2 weeks ago

1st Call for Pilots - GRAPHIA The GRAPHIA project is inviting industry and commercial organisations working in the Social Sciences and Humanities (SSH) to take part in a pilot programme exploring how knowledge graphs can support real-world products, services, and workflows. GRAPHIA is building an open, interoperable knowledge graph infrastructure that connects scattered Social Sciences and Humanities (SSH) datasets, making them […]

Private museums & galleries in the ERA working with SSH:

Want to shape how European knowledge graph infrastructure supports digital collections & AI-ready workflows?

GRAPHIA’s 1st Call for Pilots is open until 5 March 2026: graphia-ssh.eu/call-...

#Museums #Galleries #KnowledgeGraphs #AI #ERA

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Unlock Data with Quentin

@unlockdatawithq.bsky.social

2 weeks ago

Quentin Reul: Solving Business Problems with Neuro-Symbolic AI – Episode 44 YouTube video by Knowledge Graph Insights

Tech is only as valuable as the problem it solves. 🤯 I joined @larry.bsky.social to share why we use a Neuro-Symbolic approach to solve narrow business problems with precision. Stop guessing; start knowing. 🎧 Listen: youtu.be/qVJW6AXwj88?... #EidenAI #NeuroSymbolicAI #KnowledgeGraphs

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GRAPHIA

@graphiaproject.bsky.social

3 weeks ago

Why a Knowledge Graph for SSH? Concrete Use Cases with GRAPHIA YouTube video by GRAPHIA Project

Missed yesterday's webinar? 🎥

Watch the recording
www.youtube.com/watch?v=YLr7...

@julienhomo.bsky.social walked us through practical use cases, showing how knowledge graphs connect to real SSH contexts.

Stay tuned for news on the next webinar!

#GRAPHIA #KnowledgeGraphs #OpenScience

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GRAPHIA

@graphiaproject.bsky.social

3 weeks ago

1st Call for Pilots - GRAPHIA The GRAPHIA project is inviting industry and commercial organisations working in the Social Sciences and Humanities (SSH) to take part in a pilot programme exploring how knowledge graphs can support real-world products, services, and workflows. GRAPHIA is building an open, interoperable knowledge graph infrastructure that connects scattered Social Sciences and Humanities (SSH) datasets, making them […]

🚀 ERA-based commercial data providers working with SSH content:

GRAPHIA has launched its 1st Call for Pilots to explore how knowledge graph infrastructure can support AI-enabled products & services.

Deadline: 5 March 2026
Details: graphia-ssh.eu/call-...

#KnowledgeGraphs #SSH #AI #OpenScience

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Digital Science

@digital-science.com

3 weeks ago

🧬 NEW blog post: #FAIRdata & #KnowledgeGraphs are critical for AI-driven scientific discovery, writes our VP of Open Research, Mark Hahnel.

Mark explores the emergence of Natural Law Models (NLMs) for artificial intelligence, and the benefits for #pharma.

🔗 Read his post: https://ow.ly/mnIe50YhB3P

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OAPEN Foundation

@oapenbooks.bsky.social

3 weeks ago

Welcome! You are invited to join a meeting: Why a Knowledge Graph for SSH? Concrete Use Cases with GRAPHIA. After registering, you will receive a confirmation email about joining the meeting. This session offers an accessible introduction to the GRAPHIA knowledge graph. Through concrete use cases, participants will explore graph databases and discover how these technologies can relate to…

Happening tomorrow at 11:00 CET! 'Why a Knowledge Graph for SSH? Concrete Use Cases with GRAPHIA'.

There's still time to register: buff.ly/FB0Q61Z

#KnowledgeGraphs #SSH #OpenScience #GRAPHIA @graphiaproject.bsky.social

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Digital Science

@digital-science.com

3 weeks ago

2026 State of KM & AI Report The State of KM & AI: Results of a KMWorld Survey Rapid adoption of generative AI (GenAI), combined with long-standing AI technologies such as machine learning, semantic search, knowledge graphs, and semantic layers, has had an outsized impact on the practice of KM. At the same time, there continues to be skepticism, as not all AI-drivenprojects have delivered on their promised value. From a KM perspective, however, the influence of AI on content creation, curation, organization, access, and dissemination is undeniable...KM for AI:From Human to Agentic AI EnablementArtificial intelligence...

#ICYMI ➡️ Despite the massive shift toward automation, many enterprises are finding that AI isn’t delivering. The solution? 👉 Knowledge graphs.

We are proud to sponsor the 2026 State of KM & AI Report, featuring a deep dive from metaphacts

🔗 https://ow.ly/KbCw50Yhg9h

#KnowledgeGraphs #KMWorld

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Larry Swanson

@larry.bsky.social

3 weeks ago

Quentin Reul: solving business problems with neuro-symbolic AI Quentin Reul is an expert at solving business problems with neuro-symbolic AI, combining LLMs and knowledge graphs in hybrid AI systems.

The complementary nature of #knowledgeGraphs and #LLMs is now clear and long-time knowledge engineering professionals like @unlockdatawithq.bsky.social are combining them in hybrid #neurosymbolicAI systems. Lots of pragmatic advice in this conversation.

knowledgegraphinsights.com/quentin-reul/

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GRAPHIA

@graphiaproject.bsky.social

3 weeks ago

Welcome! You are invited to join a meeting: Why a Knowledge Graph for SSH? Concrete Use Cases with GRAPHIA. After registering, you will receive a confirmation email about joining the meeting. This session offers an accessible introduction to the GRAPHIA knowledge graph. Through concrete use cases, participants will explore graph databases and discover how these technologies can relate to their own professional experience. Designed for project members and anyone interested in the project's goals, the webinar will highlight the role of graph-based technologies in research discovery, data integration, and knowledge representation within the European SSH ecosystem.

⏳ Last reminder! The GRAPHIA webinar is on Thursday

Why a Knowledge Graph for SSH? Concrete use cases + practical insights.

📅 19 Feb | ⏰ 11:00 CET
👉 Register now: us02web.zoom.us/meet...

#GRAPHIA #KnowledgeGraphs #OpenScience #SSH #Webinar #AI

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Digital Science

@digital-science.com

1 month ago

2026 State of KM & AI Report The State of KM & AI: Results of a KMWorld Survey Rapid adoption of generative AI (GenAI), combined with long-standing AI technologies such as machine learning, semantic search, knowledge graphs, and semantic layers, has had an outsized impact on the practice of KM. At the same time, there continues to be skepticism, as not all AI-drivenprojects have delivered on their promised value. From a KM perspective, however, the influence of AI on content creation, curation, organization, access, and dissemination is undeniable...KM for AI:From Human to Agentic AI EnablementArtificial intelligence...

Despite the massive shift toward automation, many enterprises are finding that AI isn’t delivering. The solution? 👉 Knowledge graphs.

We are proud to sponsor the 2026 State of KM & AI Report, featuring a deep dive from metaphacts

🔗 https://ow.ly/stxw50YfjLj

#KnowledgeGraphs #KMWorld

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Francesco Osborne

@fosborne.bsky.social

1 month ago

🔥 Generative AI can now answer complex scientific questions! Our latest paper evaluates the ability of #LLMs to answer questions over #KnowledgeGraphs through Natural Language to #SPARQL translation. Excellent results across multiple benchmarks.
📄 dl.acm.org/doi/10.1145/...

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GRAPHIA

@graphiaproject.bsky.social

1 month ago

1st Call for Pilots - GRAPHIA The GRAPHIA project is inviting industry and commercial organisations working in the Social Sciences and Humanities (SSH) to take part in a pilot programme exploring how knowledge graphs can support real-world products, services, and workflows. GRAPHIA is building an open, interoperable knowledge graph infrastructure that connects scattered Social Sciences and Humanities (SSH) datasets, making them […]

Are you a commercial #publisher working in #SSH? #GRAPHIA invites industry partners in the ERA to explore how #KnowledgeGraphs can support discovery, metadata enrichment & AI-enabled publishing services.
👉 graphia-ssh.eu/call-...
📅 Deadline: 5 March

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Alexander Erdl

@alekusi.bsky.social

1 month ago

Neo4j Live: From Language to Logic - Why Graph AI Succeeds Where LLMs Fail YouTube video by Neo4j

Find out why #knowledgegraphs are becoming the foundation for trustworthy, enterprise-grade AI in our stream this week:
youtube.com/live/RliboHt... #neo4j #graphrag

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OPERAS Research Infrastructure

@operaseu.bsky.social

1 month ago

🚀 GRAPHIA’s Call for Pilots is live!

GRAPHIA is inviting industry & commercial organisations in #SSH based in the European Research Area to explore use cases for an open knowledge graph: early access, co-design, & visibility included.

👉 https://graphia-ssh.eu/call-for-pilots/

#KnowledgeGraphs

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Charles Tapley Hoyt

@cthoyt.scholar.social.ap.brid.gy

1 month ago

Efficient Bulk Access to Citations in OpenCitations OpenCitations aggregates and deduplicates bibliographic information from CrossRef, Europe PubMed Central, and other sources to construct a comprehensive, open index of citations between scientific works. This post describes the `opencitations-client` package which wraps the OpenCitations API and implements an automated pipeline for locally downloading, caching, and accessing OpenCitations in bulk. ## Background OpenCitations both provides access via an API and bulk data downloads distributed across FigShare and Zenodo. Importantly, it publishes its data under the CC0 public domain license to democratize access to citations - previously, this data was only available through paid access to commercial databases owned by publishers. While API access can be convenient for _ad-hoc_ usage, it’s generally slow, rate-limited, susceptible to DDoS (e.g., from crawlers), and therefore difficult (if not impossible) to use in bulk. My solution is to write software that automates downloading, processing, and caching databases in bulk and provides fast, highly available, local access. I’ve previously written about developing standalone software packages for several large databases including DrugBank, ChEMBL, UMLS, ORCiD, and ClinicalTrials.gov. Similarly, I maintain several similar workflows in the PyOBO software package for converting resources into ontology-like data structures. I previously wrote about how this looks for HGNC. ## Building on an Existing Ecosystem I’ve been developing a software ecosystem over the last decade to support common workflows in research data management and data integration. When I start a new project, I try and reuse or improve existing components from that ecosystem wherever possible. Importantly, I try and find meaningful ways of organizing code across my ecosystem to reduce duplication, separate concerns, reduce the burden of testing, and ease maintenance. OpenCitations publishes its bulk data dumps across several records in Figshare and Zenodo. I’ve previously written `zenodo-client` to interact with Zenodo’s API and orchestrates downloading and caching. `zenodo-client` heavily builds on `pystow`, which implements I/O and filesystem operations to enable reproducible, automated downloading, caching, and opening of data. I had not previously written software to interact with Figshare, so I followed the form of `zenodo-client` and created a new package, `figshare-client`. I’m able to quickly create new high-quality packages because I’ve encoded all the wisdom and experience I’ve gained over the years in a Cookiecutter template, cookiecutter-snekpack, which I can use to set up a new project in mere minutes. Along the way, I realized that the archives in Zenodo and Figshare were a combination of TAR and ZIP archives, each with many CSV files inside. In Python, TAR and ZIP archives have lots of weird quirks, even though they mostly do the same thing. However, rather than addressing those issues in `opencitations-client`, it made more sense to add utility functions in PyStow in cthoyt/pystow#125 (tar and zip archive iteration), which I was much better able to test in the PyStow archive. A key functionality of OpenCitations is to implement graph-like queries to find incoming and outgoing citations. I considered several solutions for efficiently caching and querying graph-like data including pickles and SQLite, but these were respectively slow and disk inefficient. I found better solutions based on NumPy’s memory maps and was surprised that I couldn’t find an implementation in a popular package (e.g., SciPy). So, I had to decide where to put an implementation of disk-based cached graph. I didn’t want to put it in OpenCitations nor make a tiny package for just this one operation, so I decided to expand the scope of PyStow and add it there in cthoyt/pystow#121. Finally, OpenCitations deals with a variety of identifier spaces including first-party OpenCitations Metadata IDs (OMIDs) and OpenCitations Citation IDs (OCIs) as well as third-party identifiers from Wikidata, OpenAlex, PubMed, DOI, and others. I’ve written the `curies` to handle identifiers in an explicit and transparent way. In the end, the `opencitations-client` relies on several components from my ecosystem, and of course, several more generic and popular packages. Here’s how the dependencies look: flowchart LR opencitations-client -- depends on --> figshare-client opencitations-client -- depends on --> zenodo-client opencitations-client -- depends on --> curies figshare-client -- depends on --> pystow zenodo-client -- depends on --> pystow ## Demo It’s important for software packages to implement simple, top-level APIs that cover 99% of use cases with reasonable defaults. Most use cases for OpenCitations are to get incoming/outgoing citations for a DOI, PubMed identifiers, or OpenCitations identifiers. Here’s how this looks: from curies import Reference from opencitations_client import get_incoming_citations, get_outgoing_citations # a CURIE for the DOI for the Bioregistry paper bioregistry_curie = "doi:10.1038/s41597-022-01807-3" # who did the Bioregistry paper cite? outgoing: list[Reference] = get_outgoing_citations(bioregistry_curie) # who cited the Bioregistry paper? incoming: list[Reference] = get_incoming_citations(bioregistry_curie) Importantly, each of these functions has a `backend` argument that defaults to `api` and can be swapped to `local`. Because everything is built on software that is smart about caching, loading, and data workflows, on the first time `backend='local'` is used, all processing happens automatically (warning, takes a few hours on a single core). This function also has a `return_value` argument that can be used to swap between principled `curies.Reference` data structures that explicitly encode identifiers, simple string local unique identifiers that match the input prefix, or full citation objects (only available through OpenCitations API). See the `opencitations-client` code on GitHub (https://github.com/cthoyt/opencitations-client) and documentation on ReadTheDocs (https://opencitations-client.readthedocs.io). * * * While I’ve been thinking about adding citations to the bibliographic components of knowledge graph construction workflows for several years, I was finally pushed to implement `opencitations-client` for the Catalaix project, where we’re developing new methods for recycling and reuse of (bio)plastics. I wanted to get all seventeen laboratories’ publications, who they cited, and who cited them as a seed for information extraction and curation. Here’s a small example of a citation network from those queries: flowchart TD 26802344["Mechanism-specific and whole-organism ecotoxicity of mono-rhamnolipids. Blank (2016)"] 34492827["The Green toxicology approach: Insight towards the eco-toxicologically safe development of benign catalysts. Herres-Pawlis (2021)"] 28779508["Highly Active N,O Zinc Guanidine Catalysts for the Ring-Opening Polymerization of Lactide. Herres-Pawlis (2017)"] 33195133["Genetic Cell-Surface Modification for Optimized Foam Fractionation. Blank (2020)"] 32974309["Integration of Genetic and Process Engineering for Optimized Rhamnolipid Production Using Jupke, Blank (2020)"] 30811863["New Kids in Lactide Polymerization: Highly Active and Robust Iron Guanidine Complexes as Superior Catalysts. Pich, Herres-Pawlis (2019)"] 30758389["Tuning a robust system: N,O zinc guanidine catalysts for the ROP of lactide. Pich, Herres-Pawlis (2019)"] 28524364["Biofunctional Microgel-Based Fertilizers for Controlled Foliar Delivery of Nutrients to Plants. Pich, Schwaneberg (2017)"] 34865895["A plea for the integration of Green Toxicology in sustainable bioeconomy strategies - Biosurfactants and microgel-based pesticide release systems as examples. Pich, Blank, Schwaneberg (2022)"] 32449840["Robust Guanidine Metal Catalysts for the Ring-Opening Polymerization of Lactide under Industrially Relevant Conditions. Herres-Pawlis (2020)"] 34492827 --> 30811863 34492827 --> 30758389 34492827 --> 28779508 34492827 --> 32449840 32974309 --> 33195133 34865895 --> 26802344 34865895 --> 32974309 34865895 --> 28524364 34865895 --> 34492827

I blogged about software I wrote for efficiently downloading and querying @opencitations in bulk

📖 blog: https://cthoyt.com/2026/02/10/opencitations-client.html

💽 code: https://github.com/cthoyt/opencitations-client

#opencitations #bibliometrics #opensource

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GRAPHIA

@graphiaproject.bsky.social

1 month ago

GRAPHIA logo with link and QR code to register.

⏰ Reminder! The first GRAPHIA webinar is coming up 🚀
Why a Knowledge Graph for SSH? Concrete use cases, clear explanations, real impact.

📅 19 Feb | ⏰ 11:00 CET
👉 Register: https://bit.ly/4sL1sIj

#GRAPHIA #KnowledgeGraphs #OpenScience #SSH #Webinar #AI #DataIntegration

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International Semantic Web Conference (ISWC 2026)

@iswc-conf.bsky.social

1 month ago

Call for Workshops – ISWC 2026

Don’t forget to send your workshop proposal, you have just over 24 hours to submit! ⏰

Details & submission guidelines: lnkd.in/dZQzfhBk

Please share with colleagues and networks who may be interested!

#ISWC2026 #SemanticWeb #KnowledgeGraphs #LinkedData

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Open Art Data

@openartdata.bsky.social

1 month ago

Erasure is an event.

Erasure should be codified and tracked across systems.

Erasure: when, where, by whom, who, why.

#KG #linkedart #cidoc #knowledgegraphs #memory #archive #wayback

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OAPEN Foundation

@oapenbooks.bsky.social

1 month ago

1st Call for Pilots - GRAPHIA The GRAPHIA project is inviting industry and commercial organisations working in the Social Sciences and Humanities (SSH) to take part in a pilot programme exploring how knowledge graphs can support…

🚀GRAPHIA’s Call for Pilots is live! We’re inviting industry & commercial organisations in #SSH based in the European Research Area to explore use cases for an open knowledge graph: early access, co-design, & visibility included. 👉 graphia-ssh.eu/call-for-pil... #GRAPHIA #KnowledgeGraphs #Innovation

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Directory of Open Access Books (DOAB)

@doabooks.bsky.social

1 month ago

1st Call for Pilots - GRAPHIA The GRAPHIA project is inviting industry and commercial organisations working in the Social Sciences and Humanities (SSH) to take part in a pilot programme exploring how knowledge graphs can support…

🚀GRAPHIA’s Call for Pilots is live! We’re inviting industry & commercial organisations in #SSH based in the European Research Area to explore use cases for an open knowledge graph: early access, co-design, & visibility included. 👉 graphia-ssh.eu/call-for-pil... #GRAPHIA #KnowledgeGraphs #Innovation

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Laboratoire MAP

@map-upr2002.bsky.social

1 month ago

1st Call for Pilots - GRAPHIA The GRAPHIA project is inviting industry and commercial organisations working in the Social Sciences and Humanities (SSH) to take part in a pilot programme exploring how knowledge graphs can support r...

🚀 GRAPHIA’s Call for Pilots is live! We’re inviting industry & commercial organisations in #SSH based in the European Research Area to explore use cases for an open knowledge graph: early access, co-design, & visibility included.
👉 graphia-ssh.eu/call-for-pil...
#GRAPHIA #KnowledgeGraphs #Innovation

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GRAPHIA

@graphiaproject.bsky.social

1 month ago

1st Call for Pilots - GRAPHIA The GRAPHIA project is inviting industry and commercial organisations working in the Social Sciences and Humanities (SSH) to take part in a pilot programme exploring how knowledge graphs can support real-world products, services, and workflows. GRAPHIA is building an open, interoperable knowledge graph infrastructure that connects scattered Social Sciences and Humanities (SSH) datasets, making them […]

🚀 GRAPHIA’s Call for Pilots is live!

We’re inviting industry & commercial organisations in #SSH based in the European Research Area to explore use cases for an open knowledge graph: early access, co-design, & visibility included.

👉 graphia-ssh.eu/call-...

#GRAPHIA #KnowledgeGraphs #Innovation

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OAPEN Foundation

@oapenbooks.bsky.social

1 month ago

Two weeks until #GRAPHIA webinar 1: An intro to #KnowledgeGraphs & why they matter for #SSH.

Looking at use cases, participants will explore graph databases & discover how these technologies can relate to their own professional experience.

Register now: buff.ly/FB0Q61Z

@graphiaproject.bsky.social

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